| Literature DB >> 32968668 |
Teresia Mbogori1, Kilee Kimmel1, Mengxi Zhang1, Jay Kandiah1, Youfa Wang1,2.
Abstract
BACKGROUND: Disease and lifestyle patterns have been changing rapidly especially in Africa due to transformation in economic development and urbanization. Research on the magnitude and consequences of these transformations in Africa is limited. This study investigates the shifts in nutritional status in children and adults in four selected low-, middle- and high-income countries in Africa, identifies factors associated with the shifts, and provides recommendations for future studies.Entities:
Keywords: Africa; malnutrition; obesity; overweight; social economic status
Year: 2020 PMID: 32968668 PMCID: PMC7505783 DOI: 10.3934/publichealth.2020035
Source DB: PubMed Journal: AIMS Public Health ISSN: 2327-8994
Demographic, Economic, and Social Characteristics of 4 selected African countries: Malawi, Kenya, Ghana, and South Africa.
| Country | Income level | GDP per capita1 US $, 2017 | Population, 2017 | Under-5 population 2017 | % of population > 65 years, 2017 | Under 5 mortality rate per 1,000 live births, 2015 | Urban/rural population ratio, 2017 | % of population undernourished, 2015–2017 |
| Malawi | Low | 338 | 18 622 000 | 2 966 000 | 3 | 64 | 0.2 | 26.3 |
| Kenya | Lower-Middle | 1595 | 49 699 000 | 7 099 000 | 3 | 49 | 0.4 | 24.2 |
| Ghana | Lower-Middle | 2046 | 28 833 000 | 4 124 000 | 3 | 62 | 1.2 | 6.1 |
| South Africa | Higher-Middle | 6151 | 56 717 000 | 5 712 000 | 5 | 41 | 1.9 | 6.1 |
Data source: Global Nutrition Report 2017 [15]. These countries were selected to represent low-, lower middle-, and high middle-income countries in Africa.
1GDP per capita = Gross domestic product (GDP) per capita.
Prevalence (%) of under- and over-nutrition among children under 5 years old in 4 selected African countries, and the urban/rural differences1.
| Country | Stunting % | Wasting % | Underweight % | Overweight & Obesity % | Overweight & obesity to underweight ratio | |
| Malawi | All | 37.1 | 2.7 | 11.7 | 4.5 | |
| Rural | 39.0 | 2.6 | 12.3 | 4.5 | ||
| Urban | 25.0 | 3.3 | 7.9 | 4.6 | ||
| Rural/urban ratio | 1.6 | 0.8 | 1.6 | 1.0 | ||
| Kenya | All | 26.0 | 4.0 | 11.0 | 4.1 | |
| Rural | 29.0 | 4.4 | 13.0 | 3.4 | ||
| Urban | 20.0 | 3.4 | 7.0 | 5.5 | ||
| Rural/urban ratio | ||||||
| Ghana | All | 18.8 | 4.7 | 11.0 | 2.6 | |
| Rural | 22.0 | 6.0 | 13.0 | 1.9 | ||
| Urban | 15.0 | 4.0 | 9.0 | 3.4 | ||
| Rural/urban ratio | ||||||
| South Africa | All | 27.4 | 2.5 | 5.9 | 13.3 | |
| Rural | 29.2 | 2.5 | 6.0 | 13.2 | ||
| Urban | 25.7 | 2.4 | 5.8 | 13.4 | ||
| Rural/urban ratio |
Data source: Prevalence of stunting, wasting, and overweight/obesity was derived from the most recent DHS reports for Malawi; 2015–2016 [18], Kenya; 2014 [17], Ghana; 2014[16], and South Africa; 2016 [19].
1Based on best available national recent data during 2014–2016.
2Stunting: % height-for-age < −2 SD; Wasting: % weight-for-height < −2 SD; Underweight: % weight-for-age < −2 SD; Overweight/obesity: % weight-for-height > +2 SD
3Overweight/obesity to underweight ration was calculated by dividing the prevalence of overweight/obesity in all the children by the prevalence of underweight.
Prevalence (%) of under- and over-nutrition among adults (> 18 years) and the gender differences in 4 selected African countries1.
| Country | Gender | Underweight (%, BMI < 18.0) | Overweight & obesity (%, BMI ≥ 25.0). | Obesity (% BMI ≥ 30.0) | Overweight & obesity to underweight ratio | Overweight to obesity ratio |
| Malawi | All | 11.3 | 20.1 | 4.7 | ||
| Male | 13.2 | 12.8 | 1.9 | |||
| Female | 9.4 | 27.3 | 7.5 | |||
| | ||||||
| Kenya | All | 11.9 | 22.6 | 6.0 | ||
| Male | 13.9 | 14.5 | 2.5 | |||
| Female | 9.9 | 30.5 | 9.4 | |||
| | ||||||
| Ghana | All | 8.9 | 29.3 | 9.7 | ||
| Male | 10.4 | 20.3 | 4.1 | |||
| Female | 7.4 | 37.9 | 15.0 | |||
| | ||||||
| South Africa | All | 4.8 | 51.9 | 27.0 | ||
| Male | 6.6 | 38.6 | 14.5 | |||
| Female | 3.2 | 64.0 | 38.5 | |||
| |
1Based on best available national recent data during 2014–2016.
Data source: prevalence values for underweight, overweight and obesity were derived from WHO 2016 [20].
Male/female ratios were calculated by dividing the male values by the female values.
Figure 1.Differences in prevalence (%) of underweight (BMI < 18.5), overweight and obesity (BMI ≥ 25), and obesity (BMI ≥ 30) among adults in 4 selected African countries, by per capita GDP level. Data on the prevalence of underweight, overweight & obesity and Gross Domestic Product per capita were collected from the Global Nutrition Report 2017, and prevalence of obesity were derived from WHO data (2016).
Figure 2.Time trends (1998–2016) in the prevalence (%) of stunting, wasting, underweight, and overweight/obesity among children under 5 years old from 4 selected African countries. Data on prevalence of stunting, wasting, and underweight for Malawi, Kenya, Ghana, South Africa were derived from the Demographic Health Surveys (1998–2016); Data for overweight/obesity in all countries was from WHO database (1998–2016). DHS for Malawi was available from 2000–2016 and for South Africa was available from 1999–2016.
Figure 3.Time trend (1998–2016) in the prevalence (%) of underweight (BMI < 18.5), overweight & obesity (BMI ≥ 25) and obesity (BMI ≥ 30) among adults in 4 selected African countries. The data were derived from the WHO and Global Health Repository dataset (1998–2016).